Math for Machine Learning : Calculus 2
Understand and apply techniques for finding area and volume using integrals. Calculate arc length of curves and apply integration to solve related problems. Master integration techniques including integration by parts and substitution. Prove basic trigonometric identities and understand their significance in calculus. Investigate convergence of sequences and series, including power and Taylor series. Apply calculus concepts to polar coordinates and understand their geometric interpretation. Utilize numerical methods such as the trapezoid and midpoint rule for approximating integrals. Calculate slopes of parametric curves and interpret their significance in real-world scenarios.
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55 Lessons

This course builds upon the foundations of Calculus 1, delving deeper into integral calculus and its applications. Topics include techniques for finding areas and volumes using integrals, calculating arc lengths of curves, and exploring advanced integration methods such as integration by parts and substitution. The course also covers the proofs of fundamental trigonometric identities and their role in calculus. Additionally, students will study the convergence of sequences and series, including power series and Taylor series, and their applications. Furthermore, the course extends calculus concepts to polar coordinates, numerical methods for integration, and the slopes of parametric curves. Through a combination of theoretical discussions, problem-solving exercises, and real-world applications, students will develop a solid understanding of Calculus 2 and its relevance in various fields.

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